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Research Group "Stochastic Algorithms and Nonparametric Statistics" > F10: Image and signal processing in the biomedical sciences > Publications

Matheon - F10: Image and signal processing in the biomedical sciences: diffusion weighted imaging - modeling and beyond

Selection of Recent Publications

  1. J. Polzehl and V. Spokoiny. Adaptive Weights Smoothing with applications to image restoration. J. Roy. Statist. Soc. Ser. B 62:335-354 (2000).
  2. J. Polzehl and V. Spokoiny. Functional and dynamic magnetic resonance using vector adaptive weights smoothing. J. Roy. Statist. Soc. Ser. C, 50:485-501 (2001).
  3. A. Goldenshluger and V. Spokoiny. On the shape-from-moments problem and recovering edges from noisy Radon data. Probab. Theory Related Fields, 128:123-140 (2004).
  4. Goldenshluger, A. and Spokoiny, V. Recovering edges of an image from noisy tomographic data. IEEE Transactions on Information Theory, 52: 1322-1334 (2006).
  5. J. Polzehl, and V. Spokoiny. Propagation-Separation Approach for Local Likelihood Estimation. Probab. Theory Related Fields 135:335-362 (2006)
  6. K. Tabelow, J. Polzehl, H.U. Voss, and V. Spokoiny. Analyzing fMRI experiments with structural adaptive smoothing procedures., NeuroImage 33(1), 55-62 (2006).
  7. G. Blanchard, M. Kawanabe, M. Sugiyama, V. Spokoiny, and K.-R. Müller. In search of non-gaussian components of a high-dimensional distribution Journal of Machine Learning Research 7, 247-282 (2006)
  8. D. Belomestny and V. Spokoiny. Spatial aggregation of local likelihood estimates with applications to classification. Annals of Statistics 25, 2287-2311 (2007).
  9. J. Polzehl, K. Tabelow. Adaptive smoothing of digital images: The R package adimpro., Journal of Statistical Software 19(1), (2007).
  10. H.U. Voss, K. Tabelow, J. Polzehl, O. Tchernichovski, K. Maul, D. Salgado-Commissariat, D. Ballon, and S.A. Helekar, Functional MRI of the zebra finch brain during song stimulation suggests a lateralized response topography, Proceedings of the National Academy of Sciences (PNAS) 104(25), 10667-10672 (2007).
  11. J. Polzehl, K. Tabelow. fmri: A package for analyzing fmri data, RNews 7(2) 13-17 (2007).
  12. K. Tabelow, J. Polzehl, A. M. Ulug, J. P. Dyke, R. Watts, L. A. Heier, and H. U. Voss. Accurate Localization of Brain Activity in Presurgical fMRI by Structure Adaptive Smoohting, IEEE Trans. Med. Imaging 27(4), 531-537 (2008).
  13. K. Tabelow, J. Polzehl, H.U. Voss, and V. Spokoiny. Diffusion Tensor Imaging: Structural adaptive smoothing., NeuroImage 39(4), 1763-1773 (2008).
  14. V. Katkovnik and V. Spokoiny. Spatially adaptive estimation via fitted local likelihood techniques. IEEE Transactions on Signal Processing 56(3) 873-886 (2008)
  15. K. Tabelow, V. Piech, J. Polzehl, and H.U. Voss. High-resolution fMRI: Overcoming the signal-to-noise problem., Journal of Neuroscience Methods 178(2), 357-365 (2009)
  16. J. Polzehl, K. Tabelow. Structural adaptive smoothing in diffusion tensor imaging: The R package dti., Journal of Statistical Software 31, (2009).
  17. J. Polzehl, K. Tabelow. Structural adaptive segmentation of statistical parametric mapping., NeuroImage , accepted (2010).

Selection of Recent Preprints

  1. A. Goldenshluger and V. Spokoiny. Recovering edges of an image from noisy tomographic data. WIAS-Preprint No. 909 (2004).
  2. J. Polzehl and V. Spokoiny. Varying coefficient regression modeling by adaptive weights smoothing. Matheon-Preprint No. 83 (2004).
  3. J. Polzehl, and V. Spokoiny. Spatially adaptive regression estimation: Propagation-separation approach. Matheon-Preprint No. 218 (2005).
  4. K. Tabelow, J. Polzehl, H.U. Voss, and V. Spokoiny. Analyzing fMRI experiments with structural adaptive smoothing procedures. WIAS-Preprint No. 1079 (2005).
  5. K. Tabelow, J. Polzehl, A.M. Ulug, J.P. Dyke, R. Watts, L.A. Heier, H.U. Voss. Accurate localization of brain activity in presurgical fMRI by structure adaptive smoothing. WIAS-Preprint No. 1119 (2006).
  6. J. Polzehl, K. Tabelow. Analyzing fMRI experiments with the fmri package in R. Version 1.0 - A users guide. WIAS-Technical Report No. 10 (2006)
  7. K. Tabelow, J. Polzehl. Adaptive smoothing of digital images: The R package adimpro. WIAS-Preprint No. 1177 (2006).
  8. K. Tabelow, J. Polzehl, V. Spokoiny, and H.U. Voss. Diffusion Tensor Imaging: Structural adaptive smoothing. WIAS-Preprint No. 1232 (2007).
  9. K. Tabelow, J. Polzehl, V. Spokoiny, and H.U. Voss. High-resolution fMRI: Overcoming the Signal-To-Noise Problem. WIAS-Preprint No. 1353 (2008).
  10. J. Polzehl, K. Tabelow. Structural adaptive smoothing in diffusion tensor imaging: The R package dti. WIAS-Preprint No. 1382 (2008).
  11. J. Polzehl, K. Tabelow. Structural adaptive smoothing: Principles and applications in imaging. WIAS-Preprint No. 1412 (2009).
  12. J. Polzehl, K. Tabelow. Structural adaptive segmentation of statistical parametric mapping. WIAS-Preprint No. 1484 (2010).

Selection of recent Talks

  1. K. Tabelow. Spatially adaptive smoothing in fMRI analysis. NeuroImaging Center, Charite, Berlin, Nov 10, 2005
  2. K. Tabelow. Detecting shape and borders of activation areas in fMRI data, WIAS Berlin, Nov 23, 2005
  3. K. Tabelow. Adaptive weights smoothing in the analysis of fMRI data, LMU Munich, SfB 386, Dec 8, 2005
  4. K. Tabelow. Den Gedanken auf der Spur, Lange Nacht der Wissenschaften, WIAS Berlin, May 13, 2006
  5. K. Tabelow. Analyzing fMRI experiments with structural adaptive smoothing methods, BCCN PhD/PostDoc Symposium, Liebenwalde, June 8, 2006
  6. K. Tabelow. Structural adaptive smoothing in medical imaging, Seminar "Visualisierung und Datenanalyse" ZIB , Berlin, January 30, 2007
  7. K. Tabelow. Structural adaptive smoothing in medical imaging, WIAS-Day 2007, WIAS , Berlin, February 22, 2007
  8. K. Tabelow. Structural adaptive signal detection in fMRI and structure enhancement in DTI, International Workshop on Image Analysis in the Life Sciences , Linz Austria, March 2, 2007
  9. K. Tabelow. Structural adaptive smoothing in medical imaging, Sitzung des wissenschaftlichen Beirates, WIAS , Berlin, March 16, 2007
  10. K. Tabelow. Den Gedanken auf der Spur - Bildgebende Verfahren in der Hirnforschung, Tag der Mathematik 2007, Berlin, May 5, 2007
  11. K. Tabelow. Structural Adaptive Smoothing Magnetic Resonance Data - Part II: Diffusion Tensor Imaging, Seminar "Modern Methods in Applied Stochastics and Nonparametric Statistics", WIAS , Berlin, May 15, 2007
  12. K. Tabelow. Improving data quality in fMRI and DTI by structural adaptive smoothing, Research Seminar, Biomedical Imaging Center, Weill Medical College of Cornell University, New York, June 18, 2007
  13. K. Tabelow. Den Gedanken auf der Spur - Bildgebende Verfahren in der Hirnforschung, MATHEredaktiON, WIAS Berlin, September 18, 2007
  14. K. Tabelow. Den Gedanken auf der Spur - Bildgebende Verfahren in der Hirnforschung, Schüler-Technik-Tage, WIAS Berlin, October 10, 2007
  15. K. Tabelow. Statistische Verfahren in der Hirnforschung, Schülertag, WIAS Berlin, April 18, 2008
  16. K. Tabelow. Strukturadaptive Bild- und Signalverarbeitung, Joint Workshop Siemens Healthcare / MATHEON, TU Berlin, July 8, 2008
  17. K. Tabelow. Den Gedanken auf der Spur - Bildgebende Verfahren in der Hirnforschung, Schülerseminar, HU Berlin, November 11, 2008
  18. K. Tabelow. Structural adaptive smoothing in fMRI and DTI, Workshop BCCN on recent developments in fMRI analysis methods, Berlin, Jamuary 23, 2009
  19. K. Tabelow. A3 - Image and signal processing in medicine and biosciences, A-Day, ZIB, Berlin, December 5, 2007
  20. K. Tabelow. Magnetresonanztomographie: EinBlick in Funktionalität und Anatomie des Gehirns, Tag der Mathematik HU Berlin, April 25, 2009
  21. K. Tabelow. Structural adaptive methods in fMRI and DTI, BIG APPLE lecture series, Weill Cornell Medical College (New York), June 25, 2009
  22. K. Tabelow. Structural adaptive methods in fMRI and DTI, FMRI-Lab sponsored lecture series, Memorial Sloan-Kettering Cancer Center (New York), June 25, 2009
  23. J. Polzehl. Adaptive smoothing by propagation-separation, Australian National University, Center of Mathematics and its Applications, March 31, 2005.
  24. J. Polzehl. Image reconstruction and edge enhancement by structural adaptive smoothing, 55th Session of the International Statistical Institute (ISI), April 8, 2005.
  25. J. Polzehl. Propagation-separation at work: Main ideas and applications, National University of Singapore, Department of Probability Theory and Statistics, March 24, 2005.
  26. J. Polzehl. Spatially adaptive smoothing: A propagation-separation approach for imaging problems, Joint Statistical Meetings, August 11, 2005.
  27. J. Polzehl. Structural adaptive smoothing by propagation-separation methods, Ludwig-Maximilians-Universität München, SFB 386, December 07, 2005.
  28. J. Polzehl. Statistische Verfahren zur Bildrekonstruktion und Signalerkennung in Bildzeitreihen, Philips GmbH, Medizintechnik, December 15, 2006.
  29. J. Polzehl. Statistische Verfahren, Bildrekonstruktion und Signalerkennung in Bildzeitreihen, November 16, 2006.
  30. J. Polzehl. Structural adaptive smoothing by propagation-separation, 69th Annual Meeting of the IMS and 5th International Symposium on Probability and its Applications, July, 30, 2006.
  31. J. Polzehl. Propagation-separation procedures for image processing, International Workshop on Image Analysis in the Life Sciences, Theory and Applications, Johannes Kepler Universität Linz, March 2, 2007.
  32. J. Polzehl. Structural Adaptive Smoothing Magnetic Resonance Data - Part I/II; Part I: Funtional Magnetic Resonance Imaging, Seminar ``Modern Methods in Applied Stochastics and Nonparametric Statistics'', WIAS Berlin, May, 8, 2007.
  33. J. Polzehl. Structural adaptive smoothing in imaging problems, Spring Seminar Series, University of Minnesota, School of Statistics, College of Liberal Arts, May, 24, 2007.
  34. J. Polzehl. Structural adaptive smoothing methods, Gemeinsames Kolloquium des Fachbereichs Statistik und des SFB 475, Universität Dortmund, January 30, 2007.
  35. J. Polzehl. Structural adaptive smoothing methods and related topics, Kick-off Meeting eVITA project, February 15, 2007.
  36. J. Polzehl. Structural adaptive smoothing procedures by propagation-separation methods, Final meeting of the DFG Priority Program 1114, November 7, 2007.
  37. J. Polzehl. Structural adaptive smoothing: Images, fMRI and DWI, Workshop on Algorithms in Complex Systems, EURANDOM, September 24, 2007.
  38. J. Polzehl. New developments in structural adaptive smoothing: Images, fMRI and DWI, University of Tromsoe, May 27, 2008.
  39. J. Polzehl. Smoothing fMRI and DWI data using the propagation-separation approach, University of Utah, Computing and Scientific Imaging Institute, September 11, 2008.
  40. J. Polzehl. Structural adaptive smoothing in diffusion tensor imaging, Workshop on ``Locally Adaptive Filters in Signal and Image Processing'', EURANDOM, November 25, 2008.
  41. J. Polzehl. Structural adaptive smoothing using the propagation-separation approach, University of Chicago, Department of Statistics, September 3, 2008.
  42. J. Polzehl. Sequential multiscale procedures for adaptive estimation, 1st IMS Asia Pacific Rim Meeting (2009/07/01), Seoul, ROC, July 1, 2009

Extended abstracts

  1. K. Tabelow, J. Polzehl, V. Spokoiny, L.A. Heier, and H.U. Voss. Accurate localization of brain activity in presurgical fMRI by structure adaptive smoothing. Proc. of the 14th Scientific Meeting of ISMRM, 2006
  2. K. Tabelow, J. Polzehl, V. Spokoiny. Analyzing fMRI experiments with structural adaptive smoothing methods. Proc. of the Human Brain Mapping 2006. NeuroImage 31/S1 (2006).
  3. K. Tabelow, J. Polzehl, H.U. Voss. Increasing SNR in high resolution fMRI by spatially adaptive smoothing. Proc. of the Human Brain Mapping. NeuroImage 36/S1 (2007).
  4. K. Tabelow, J. Polzehl, H.U. Voss. Reducing the number of necessary diffusion gradients by adaptive smoothing. Proc. of the Human Brain Mapping. NeuroImage 36/S1 (2007).
  5. J. Polzehl, K. Tabelow. Structural adaptive smoothing in diffusion tensor imaging: The R-package dti. Proc. of the Human Brain Mapping. NeuroImage 47/S1 (2009).
  6. K. Tabelow, H.U. Voss, J. Polzehl. Structural adaptive smoothing methods for high-resolution fRMI. Proc. of the Human Brain Mapping. NeuroImage 47/S1 (2009).
  7. K. Tabelow, J. Polzehl, S. Mohammadi, M. Deppe. Impact of smoothing on the interpretation of FA maps. Proc. of the Human Brain Mapping 2010. NeuroImage (2010).
  8. K. Tabelow, J. Clayden, P. Lafaye de Micheaux, J. Polzehl, V. Schmid, B. Whitcher. Image analysis and statistical inference in NeuroImaging with R. Proc. of the Human Brain Mapping 2010. NeuroImage (2010).

Poster

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last reviewed: Jun 04, 2010, K. Tabelow